A Robust Home Alone Faint Detection Based on Wireless Sensor Networks
Target detection and tracking are one of the fundamental problems for wireless sensor networks and play an important role in the safety field. Faint detection is an important problem for the elderly people or patients or even pregnant women. It has wide application in current society. This paper pro...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-08-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/534980 |
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| _version_ | 1850234669599031296 |
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| author | Zhen-hai Wang Bo Xu |
| author_facet | Zhen-hai Wang Bo Xu |
| author_sort | Zhen-hai Wang |
| collection | DOAJ |
| description | Target detection and tracking are one of the fundamental problems for wireless sensor networks and play an important role in the safety field. Faint detection is an important problem for the elderly people or patients or even pregnant women. It has wide application in current society. This paper proposed a method to collect information about the behavior and position of faint event in the sensing environment. This method detects and tracks faint person by combining Kalman filter and Camshift tracking algorithm. Experiments showed that the method yields good detection and tracking performance in complex environments. |
| format | Article |
| id | doaj-art-16642b332e1c4870908c91c9f31bc3bd |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-16642b332e1c4870908c91c9f31bc3bd2025-08-20T02:02:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-08-011110.1155/2015/534980534980A Robust Home Alone Faint Detection Based on Wireless Sensor NetworksZhen-hai Wang0Bo Xu1 Provincial Key Laboratory for Network Based Intelligent Computing, University of Jinan, Jinan 250022, China College of Mechanical Engineering, Linyi University, Linyi 276005, ChinaTarget detection and tracking are one of the fundamental problems for wireless sensor networks and play an important role in the safety field. Faint detection is an important problem for the elderly people or patients or even pregnant women. It has wide application in current society. This paper proposed a method to collect information about the behavior and position of faint event in the sensing environment. This method detects and tracks faint person by combining Kalman filter and Camshift tracking algorithm. Experiments showed that the method yields good detection and tracking performance in complex environments.https://doi.org/10.1155/2015/534980 |
| spellingShingle | Zhen-hai Wang Bo Xu A Robust Home Alone Faint Detection Based on Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | A Robust Home Alone Faint Detection Based on Wireless Sensor Networks |
| title_full | A Robust Home Alone Faint Detection Based on Wireless Sensor Networks |
| title_fullStr | A Robust Home Alone Faint Detection Based on Wireless Sensor Networks |
| title_full_unstemmed | A Robust Home Alone Faint Detection Based on Wireless Sensor Networks |
| title_short | A Robust Home Alone Faint Detection Based on Wireless Sensor Networks |
| title_sort | robust home alone faint detection based on wireless sensor networks |
| url | https://doi.org/10.1155/2015/534980 |
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